Top Remote Senior Level Jobs in Salt Lake City, UT

As an Audit Manager, you will manage audit engagements for tribal industry clients, oversee teams, provide feedback, and ensure compliance with GAAP while maintaining strong client relationships.

Lead and perform financial statement and SOX audits, design audit procedures, test internal controls, identify and research accounting issues, communicate with clients, and mentor junior staff. Participate in pre-audit planning and execute audits under GAAS, GAAP, PCAOB, AICPA standards.

Manage and lead audit, review, and compilation engagements for real estate clients. Oversee staffing, planning, budgeting, risk assessment, fieldwork, reporting, and team performance. Research complex accounting issues, assist clients with GAAP and FASB updates, provide training, and support business development and community activities. Position requires client-facing travel and collaboration with firm leadership.

Own revenue expansion for assigned State, Local, and Education (SLED) accounts. Manage full sales cycle from lead to close, build executive relationships, develop account strategies, drive adoption of Pluralsight, coordinate extended account team, manage pipeline and forecasting, and meet quota while supporting customer success.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Serve as strategic HR advisor to Financial Services and Borrow/Operations Engineering leadership. Drive org design, compensation, performance management, employee relations, D&I, and development. Lead complex employee relations, provide executive coaching, use people analytics for data-informed decisions, partner with CoEs, and foster company culture and stakeholder relationships.

Lead product marketing for modern MFA, passwordless and intelligent access solutions. Build positioning, GTM strategy, launches, sales enablement, competitive messaging, and market insights to drive adoption among CISOs and enterprise buyers.

Lead product marketing for MongoDB's Public Sector vertical, initially focusing on U.S. federal buyers. Develop positioning, messaging, and sales enablement for regulated workloads; create content (briefs, whitepapers, case studies), enable sales and partners, coordinate with compliance/product teams on certifications, run competitive and win/loss analysis, and expand messaging to State & Local and Higher Education.

Lead AI security strategy and guardrails, design and review AI gateways and tooling, scale InfoSec review processes, reduce AI-driven security noise, drive remediation and investigations, and mentor security and platform engineers.

Own the end-to-end product experience for AI coding agents integrating Deepgram: discovery, integration/onboarding, production use, verification, and feedback systems. Build measurement, experimentation, and optimization systems; define agent-specific developer platform requirements and prototype changes; turn agent traffic into rapid product improvements and run cross-functional execution.

Lead and grow a Platform Professional Services team delivering AIDR and Falcon platform implementation, configuration, and operational support. Provide hands-on technical delivery, build services and playbooks, collaborate cross-functionally, mentor staff, and continuously improve AI-driven detection and response offerings for strategic customers.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.